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Graduate School Scholarship Programme: The Department of Mathematics in co-operation with the German Academic Exchange Service (DAAD), invites applications for two scholarships for international doctoral candidates. Application deadline is January 10, 2018. More information is available here.

Nächster Vortrag im Stochastischen Kolloquium:
20.12.2017, 11:00, Dr. Nina Miolane (GeomStats Team at Inria/Stanford)

"Template shape estimation: correcting an asymptotic bias" (Abstract).
Statistics Meets Friends: The workshop "Statistics Meets Friends - from biophysics to inverse problems and back -" took place in Göttingen from November 29th to December 1st, 2017.
Presseinformation: Statistics Meets Friends - from biophysics to inverse problems and back.
Presseinformation: Dr. Vlada Limic, CNRS Straßburg, hat den Friedrich Wilhelm Bessel-Forschungspreis der Alexander von Humboldt-Stiftung erhalten. Sie forscht für ein Jahr am Institut für Mathematische Stochastik in der Arbeitsgruppe von Prof. Dr. Anja Sturm (Presseinformation).

Arbeitsgruppe "Angewandte und Mathematische Statistik"

  • Li, H., Guo, Q., Munk, A. (2017).
    Multiscale Change-point Segmentation: Beyond Step Functions. arxiv.org/abs/1708.03942. Submitted.
  • Li, H., Guo, Q., Munk, A. (2017).
    Multiscale change-point segmentation: Beyond step functions arxiv.org 1708.03942. Submitted.
  • Grasmair, M., Li, H., Munk, A. (2017).
    Variational multiscale nonparametric regression: smooth functions Annales de l’Institute Henri Poincare (B), Probabilités et Statistiques, arxiv.org 1512.01068. To appear.
  • Li, H., Munk, A., Sieling, H., Walther, G. (2016).
    The essential histogram arxiv.org 1612.07216. Submitted.
  • Li, H., Munk, A., Sieling, H. (2016).
    FDR-control in multiscale change-point segmentation. Electron. J. Statist., 10(1), 918-959.
  • Peter, P., Weickert,J., Munk, A., Krivobokova, T., Li, H. (2015).
    Justifying tensor-driven diffusion from structure-adaptive statistics of natural images. Energy Minimization Methods in Computer Vision and Pattern Recognition, 8932, 263--277.
  • Li, H., Haltmeier, M., Zhang, S., Frahm, J., Munk, A. (2013).
    Aggregated Motion Estimation for Image Reconstruction in Real-Time MRI (Supplements). Magnetic Resonance in Medicine, DOI: 10.1002/mrm.25020.